Triple
T16652536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taipei Metro Bannan Line |
E404640
|
entity |
| Predicate | smartcardBrand |
P69490
|
FINISHED |
| Object | iPASS |
E376163
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: iPASS | Statement: [Taipei Metro Bannan Line, smartcardBrand, iPASS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iPASS Context triple: [Taipei Metro Bannan Line, smartcardBrand, iPASS]
-
A.
iPASS
chosen
iPASS is a Taiwanese contactless smart card widely used for public transportation fares and small-value electronic payments.
-
B.
I-PASS
I-PASS is an electronic toll collection system used on Illinois tollways that allows drivers to pay tolls automatically without stopping.
-
C.
iPASS Corporation
iPASS Corporation is the company responsible for managing and operating Taiwan’s iPASS contactless smart card payment system used for public transportation and small-value transactions.
-
D.
PASPA
PASPA was a 1992 U.S. federal law that effectively banned state-authorized sports betting nationwide until it was struck down by the Supreme Court in 2018.
-
E.
OnePass
OnePass was Continental Airlines’ frequent flyer loyalty program that allowed passengers to earn and redeem miles for flights and travel rewards.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf7ae7c81908b6807acd8f1669b |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c4c6a08190874264b2840fc70d |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.